Many have heard about the explosion of data and the abundance of data sources post 2010. If you’re a data analyst or are involved in data-driven decision making for your organization, understanding the data you’re provided with or have obtained becomes crucial. A key component in understanding your data is data visualization. You can find a plethora of tools to do this, and Python’s Bokeh library is one of the big ones. This course aims to give you an introductory understanding of Bokeh. In this course, Build Your First Data Visualization with Bokeh, you’ll deal with the what’s and the why’s of Bokeh. First, you’ll hear about what it is, why it is needed, and the things you can do with it. Next, you’ll focus on creating actual visualizations using Bokeh. Then, you’ll learn how to load a dataset, in addition to creating and customizing visualizations, along with adding the one thing that makes Bokeh special – Interactivity. When you’re finished with this course, you’ll have the knowledge and skills to build visualizations from your own datasets with Bokeh.
Author Name: Pratheerth Padman
Author Description:
Pratheerth is a Data Scientist who has entered the field after an eclectic mix of educational and work experiences. He has a Bachelor’s in Engineering in Mechatronics from India, Masters in Engineering Management from Australia and then a couple of years of work experience as a Production Engineer in the Middle East. Then when the A.I bug bit him, he dropped everything to dedicate his life to the field. He is currently working on mentoring, course creation and freelancing as a Data Scientist.

Table of Contents

• Course Overview
  1min
• Introducing Bokeh – What and Why
  14mins
• Visualizing Data with Bokeh
  23mins